Social Vulnerability and Touristification of Historic Centers

Historic centers have su ered di erent processes of neglect, occupation, segregation, gentrification, and touristification as a result of changes in demand and policies. Currently, they are going through a homogenization process motivated by tourist pressure, which is causing the expulsion of the local population; this is a common topic of interest for media and political agendas, which requires scientific analysis. This research aims at identifying the winning and the losing tourist groups in the historic center of Seville. It is structured in two parts: a conceptual one based on the bibliographic review with which one wants to know how the current society responds to tourist pressure through defining and characterizing the processes of substitution of uses and inhabitants, and another empirical one in which the analysis of statistical indicators (demographic, economic, and residential) treated with Geographic Information System (GIS) allows us to measure the degree of existing vulnerability and analyze social and spatial e ects caused by the tourism in Sevill

Central regions for bivariate distributions

For a one-dimensional probability distribution, the classical concept of central region as a real interquantile interval arises in all applied sciences. We can find applications, for instance, with dispersion, skewness and detection of outliers. All authors agree with the main problem in a multivariate generalization: there does not exist a natural ordering in n-dimensions, n > 1. Because of this reason, the great majority of these generalizations depend on their use. We can say that is common to generalize the concept of central region under the definition of the well known concept of spatial median. In our work, we develop an intuitive concept which can be interpreted as level curves for distribution functions and this one provides a trimmed region. Properties referred to dispersion and probability are also studied and some considerations on more than two dimensions are also considered. Furthermore, several estimations for bivariate data based on conditional quantiles are discussed

Generalized S-space-forms with two structure vector fields

We introduce and study generalized S-space-forms with two structure vector fields. We also present several examples of these manifolds such as certain hypersurfaces of Sasakianspace-forms, principal toroidal bundles and warped products. Moreover, we investigate generalized S-space-forms endowed with an additional structure and we obtain some obstructions for them to be S-manifolds.Plan Andaluz de Investigación (Junta de Andalucía)Ministerio de Educación y CienciaFondo Europeo de Desarrollo Regiona

Motivaciones que influyen en la implementación de prácticas responsables en las cadenas hoteleras

Ponencia presentada al XVI Seminario Hispano-Luso de Economía empresarial (CIBECEM)El objetivo de este estudio es analizar las razones y motivaciones que influyen en el nivel de desarrollo de la Responsabilidad Social Corporativa (RSC) en las cadenas hoteleras españolas. El modelo de Carroll (1979, 1991, 1999) ha sido utilizado en la literatura científica en numerosas investigaciones (Wartick y Cochran, 1985; Wood, 1991; Swanson, 1995; Burton y Hegarty, 1999; Maignan, 2001; Maignan y Ferrell, 2003; García de los Salmones, 2005; Pérez, 2008) y dentro del grupo de teorías éticas lo validaremos empíricamente. Para lograr los objetivos mencionados llevamos a cabo un estudio cuantitativo en el que aplicamos al modelo de investigación propuesto la técnica Partial Least Square (PLS), metodología basada en Modelos de Ecuaciones Estructurales (SEM).The aim of this study is to analyze the reasons and motivations that influence the level of development of Corporate Social Responsibility (CSR) in Spanish hotel chains. Carroll’s model (1979, 1991, 1999) has been used in the literature in numerous occasions (Wartick and Cochran, 1985, Wood, 1991, Swanson, 1995, Burton and Hegarty, 1999; Maignan, 2001; Maignan and Ferrell, 2003; Garcia Salmon, 2005; Pérez, 2008) and, within the group of ethical theories, this paper is intended to empirically validate it. To achieve these objectives we have conducted a quantitative study in which we apply the our proposed research model the Partial Least Square (PLS) technique, based on the Structural Equation Models (SEM) methodology

Proceso de decisión basado en la función de esparcimiento

First published in Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas in 93, 4 (1999) published by the Real Academia de Ciencias Exactas, Físicas y Naturales.En este artículo, se estudia un proceso de decisión de exponencialidad basado en la función de esparcimiento para observaciones no censuradas. Existen muchos tests en la literatura estadística cuando la distribución de la hipótesis alternativa en N.B.U.E. y, usando métodos de simulación, comprobamos que es más potente que los clásicos propuestos

A synergetic approach to burned area mapping using maximum entropy modeling trained with hyperspectral data and VIIRS hotspots

Producción CientíficaSouthern European countries, particularly Spain, are greatly affected by forest fires each year. Quantification of burned area is essential to assess wildfire consequences (both ecological and socioeconomic) and to support decision making in land management. Our study proposed a new synergetic approach based on hotspots and reflectance data to map burned areas from remote sensing data in Mediterranean countries. It was based on a widely used species distribution modeling algorithm, in particular the Maximum Entropy (MaxEnt) one-class classifier. Additionally, MaxEnt identifies variables with the highest contribution to the final model. MaxEnt was trained with hyperspectral indexes (from Earth-Observing One (EO-1) Hyperion data) and hotspot information (from Visible Infrared Imaging Radiometer Suite Near Real-Time 375 m active fire product). Official fire perimeter measurements by Global Positioning System acted as a ground reference. A highly accurate burned area estimation (overall accuracy = 0.99%) was obtained, and the indexes which most contributed to identifying burned areas included Simple Ratio (SR), Red Edge Normalized Difference Vegetation Index (NDVI750), Normalized Difference Water Index (NDWI), Plant Senescence Reflectance Index (PSRI), and Normalized Burn Ratio (NBR). We concluded that the presented methodology enables accurate burned area mapping in Mediterranean ecosystems and may easily be automated and generalized to other ecosystems and satellite sensors.Ministerio de Economía, Industria y Competitividad (grant AGL2017-86075-C2-1-R)Junta de Castilla y León (project LE001P17

Minimal slant submanifolds of the smallest dimension in S-manifolds

We study slant submanifolds of S-manifolds with the smallest dimension, specially minimal submanifolds and establish some relations between them and anti-invariant submanifolds in S-manifolds, similar to those ones proved by B.-Y. Chen for slant surfaces and totally real surfaces in Kaehler manifolds.Plan Andaluz de Investigación (Junta de Andalucía

Energía eólica y paisaje. Identificación y cuantificación de paisajes afectados por instalaciones eólicas en Andalucía

Este artículo analiza la distribución territorial y paisajística de los parques eólicos en Andalucía, identificando y cuantificando las superficies afectadas por cambios paisajísticos como consecuencia de la implantación de estas infraestructuras. Ello se lleva a cabo a partir de la generación de una geodatabase de energías renovables que recoge información espacial detallada de estas infraestructuras, con un nivel de precisión hasta el momento inédito en Andalucía. El uso de las capacidades analíticas de los Sistemas de Información Geográfica permite la definición y generación de nuevos indicadores paisajísticos relacionados con las instalaciones de energía eólica, no aplicados previamente para la Comunidad Autónoma Andaluza.This article analyzes the spatial and landscape distribution of wind farms in the region of Andalusia, Spain, and identifies and quantifies the surface area affected by landscape changes resulting from the implementation of this type of infrastructure. This is done by creating a geodatabase of renewable energies that includes detailed spatial information of these infrastructures with a scale of accuracy that is unprecedented in Andalusia. By using the analytical abilities of Geographical Information Systems it has been possible to define and create new landscape indicators linked to the installation of wind farms that have not been applied previously in the Andalusian Autonomous Community

The effective-thickness concept in laminated-glass elements under static loading

Laminated glass is a sandwich element consisting of two or more glass sheets, with one or more interlayers of a polymer such as polyvinyl butyral (PVB). The static response of sandwich elements such as laminated-glass beams and plates can be modeled using analytical or numerical models in which the glass is usually modeled as linear-elastic and the PVB as linear-viscoelastic material, respectively. As a way to simplify the laminated-glass calculations, the concept of effective thickness has been recently proposed, which allows the calculation of laminated-glass beams as monolithic beams using an apparent or effective thickness. In this work, equations for the effective thickness of laminated-glass beams are derived from the analytical model proposed by Koutsawa and Daya and the results provided by this model are compared with the models of Bennison et al. and Galuppi and Royer-Carfagni. Finally, some static experimental tests were performed on several laminated-glass beams under distributed loading in order to validate the predictions of the model

Wind power and landscape. Identification and cuantification of landscapes affected by wind power plants in Andalusía

Este artículo analiza la distribución territorial y paisajística de los parques eólicos en Anda-lucía, identificando y cuantificando las superficies afectadas por cambios paisajísticos como consecuencia de la implantación de estas infraestructuras. Ello se lleva a cabo a partir de la generación de una geodatabase de energías renovables que recoge información espacial deta-llada de estas infraestructuras, con un nivel de precisión hasta el momento inédito en Andalu-cía. El uso de las capacidades analíticas de los Sistemas de Información Geográfica permite la definición y generación de nuevos indicadores paisajísticos relacionados con las instalaciones de energía eólica, no aplicados previamente para la Comunidad Autónoma Andaluza.This article analyzes the spatial and landscape distribution of wind farms in the region of Andalusia, Spain, and identifies and quantifies the surface area affected by landscape changes resulting from the implementation of this type of infrastructure. This is done by creating a geodatabase of renewable energies that includes detailed spatial information of these infrastructures with a scale of accuracy that is unprecedented in Andalusia. By using the analytical abilities of Geographical Information Systems it has been possible to define and create new landscape indicators linked to the installation of wind farms that have not been applied previously in the Andalusian Autonomous Community